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基于多节点模型的大空间垂直温度分布研究

Application of Multi-Zone Model in Calculating the Indoor Air Temperature of Large Space Buildings
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摘要 针对大空间下送中回气流组织室内热环境,以室内空气为研究对象,通过在垂直方向上分层建立能量平衡方程与质量平衡方程,建立多节点温度求解模型,并利用大空间缩尺模型稳态环境实验予以验证,通过4个工况验证结果可知,各空气温度的理论计算值与实验值的最大绝对误差不超过3%,平均误差为1.4%. Focusing on the study of indoor thermal environment under the air distribution of low supply and middle return in large spaces,an energy balance equation and mass balance equation were built to analyze each module in order to get the air temperature in multi-node.Experimental verifications for the calculation results of four working conditions were carried out by using the scale model of a large space laboratory.As shown by the results,the absolute value of maximum error between theoretical and experimental values of air temperature in respective areas is 3%,and the average error is 1.4%.
出处 《上海理工大学学报》 CAS 北大核心 2016年第6期563-567,575,共6页 Journal of University of Shanghai For Science and Technology
基金 国家自然科学基金资助项目(51278302)
关键词 分层空调 下送中回 多节点 垂直温度分布 stratified air conditioning low supply and middle return multi-node vertical distribution temperature
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  • 1Su J, Neto A J S. Two-dimensional inverse heat conduction problem of source strength estimation in cylindrical rods [J]. Applied Mathematical Modelling, 2001,25 (10) : 861 - 872.
  • 2Liu F B. A hybrid method for the inverse heat transfer of estimating fluid thermal conductivity and heat capacity[J]. International Journal of Thermal Sciences, 2011, 50(5) :718 - 724.
  • 3Geng F Z, Lin Y Z. Application of the variational iteration method to inverse heat source problems[J]. Computers & Mathematics with Applications, 2009, 58 (11/12) :2098 - 2102.
  • 4Xiong X T, Wang J X. A Tikhonov-type method for solving a multidimensional inverse heat source problem in an unbounded domain [J]. Journal of Computational and Applied Mathematics, 2012, 236 (7) : 1766 - 1774.
  • 5Liu F B. A modified genetic algorithm for solving the inverse heat transfer problem of estimating plan heat source[J]. International Journal of Heat and Mass Transfer, 2008,51(15/16) : 3745 - 3752.
  • 6Deng S, Hwang Y. Applying neural networks to the solution of forward and inverse heat conduction problems[J]. International Journal of Heat and Mass Transfer, 2006,49 (25/26) : 4732 - 4750.
  • 7Dorigo M, Maniezzo V, Colonri A. The ant system: optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man and Cybernetics, Part B, 1996,26 (1):1 - 13.
  • 8Dorigo M, Caro G D, Gambardella L M. Ant algorithms for discrete optimization [J ]. Artificial Life, 1999, 5 (2) :137- 172.
  • 9Hetmaniok E, Slota D, Zielonka A. Application of the ant colony optimization algorithm for reconstruction of the thermal conductivity coefficient[M]//Swarm and Evolutionary Computation. Berlin: Springer, 2012.
  • 10Dorigo M, Gambardella L M. Ant colonies for the traveling salesman problem [J]. BioSystems, 1997, 43 (2) :73 - 81.

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